Hakutulokset - optimization algorithm
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4581
A Modified Differential Evolution for Source Localization Using RSS Measurements
Julkaistu 2025-06-01“…In wireless sensor networks, evolutionary algorithms have emerged as pivotal tools for addressing complex localization challenges inherent in non-convex and nonlinear maximum likelihood estimation problems associated with received signal strength (RSS) measurements. …”In wireless sensor networks, evolutionary algorithms have emerged as pivotal tools for addressing complex localization challenges inherent in non-convex and nonlinear maximum likelihood estimation problems associated with received signal strength (RSS) measurements. While differential evolution (DE)...
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4582
Isolated fiber-optic transmission of IGBT UCE signals for precise HV switching analysis
Julkaistu 2025-07-01“…The LL system demonstrates that robust analog optical transmission for HV measurement can be achieved using cost-optimized components when paired with targeted compensation strategies and careful architectural design.…”This work presents the design and implementation of an isolated fiber-optic transmission system for real-time monitoring of collector-emitter voltage (UCE) in IGBT-based highvoltage (HV) stacks, with a focus on applications in industrial and accelerator environments. The system, named LaserLink, add...
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4583
Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management
Julkaistu 2025-01-01“…These predictions then feed into a DMPC module onboard each drone, which optimizes safe, efficient trajectories in real time to mitigate potential conflicts. …”Cooperative Graph-based Predictive Collision Avoidance (CGPCA) is a novel, decentralized approach designed to manage and control drone traffic while preventing collisions with both other drones and surrounding obstacles. It combines real-time communication, Graph Neural Networks (GNNs), and Decentra...
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4584
A Novel Active RFID and TinyML based system for livestock Localization in Pakistan
Julkaistu 2024-04-01“…To realize the full potential of this unique Active RFID and TinyML-based livestock localization system in Pakistan, further research should focus on optimizing localization algorithms, enhancing TinyML models, and exploring interaction with upcoming technologies …”Localization of livestock is a vital component of good livestock management in Pakistan. This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML) approaches. The incorporation of Active RFID technology...
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4585
A Review of Control Strategies for Four-Switch Buck–Boost Converters
Julkaistu 2025-06-01“…Hard-switching multi-mode control strategies aim to improve control algorithms and logic to mitigate large duty cycle variations and voltage gain discontinuities caused by dead zones. …”In order to meet the demand for high-voltage architectures of 400 V and 800 V in electric vehicle systems, high-power DC-DC converters have become a key focus of research. The Four-Switch Buck–Boost converter has gained widespread application due to its wide voltage conversion range, consistent inpu...
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4586
Methods of treatment of postnecroctic pancreatic cysts: modern looks of the problem (literature review)
Julkaistu 2017-09-01“…Thus, the high incidence of acute pancreatitis, the lack of diagnostic algorithms and clear indications for a wider range of existing methods of surgical treatment of postnecrotic pancreatic cysts leaves a field for subsequent studies and observations.…”Choosing a surgical method of treatment of postnecrotic pancreatic cysts is an extremely urgent problem these days. With developing technologies and increasing number of minimally invasive methods of treatment, diagnostic capabilities tend to improve. Whereas traditional methods of surgical treatmen...
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4587
Comparative analysis of the quality of fractal image compression with JPEG and JPEG2000 standards
Julkaistu 2025-07-01“…The performance of the algorithms is evaluated using a set of metrics: compression ratio (CR), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the learned fragment image similarity metric (LPIPS). …”This paper presents a comparative analysis of three image compression methods: JPEG, JPEG2000, and fractal compression (FIC). The theoretical foundations of each method are reviewed, including the discrete cosine transform (DCT) for JPEG, the discrete wavelet transform (DWT) for JPEG2000, and the i...
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4588
A comparative study of machine learning techniques and data processing for predicting the compressive strength of pervious concrete with supplementary cementitious materials and ch...
Julkaistu 2025-10-01“…This study introduces a novel approach that combines machine learning algorithms, such as Extreme Gradient Boosting (XGB) and Artificial Neural Network (ANN), with chemical composition analysis to predict the compressive strength of pervious concrete. …”This study introduces a novel approach that combines machine learning algorithms, such as Extreme Gradient Boosting (XGB) and Artificial Neural Network (ANN), with chemical composition analysis to predict the compressive strength of pervious concrete. By considering a wider range of supplementary ce...
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4589
Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland
Julkaistu 2025-06-01“…The machine learning models, including logistic regression and decision tree-based algorithms, demonstrated strong potential for predicting site visibility. …”The detection of archeological sites in satellite imagery is often hindered by environmental constraints such as vegetation cover and variability in meteorological conditions, which affect the visibility of subsurface structures. This study aimed to develop predictive models for assessing archeologi...
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4590
Assisting human annotation of marine images with foundation models
Julkaistu 2025-07-01“…Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. …”Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. There have been many advances, but the cost of generating expert human annotations to train new models remains extremely high. There is broad recognition both in comp...
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4591
Castleman Disease: Insights from a Case Series and Literature Review
“…This study reinforces the importance of multidisciplinary collaboration, early histopathological diagnosis, and long-term monitoring to optimize outcomes. By integrating clinical experiences with literature, it advocates for refined diagnostic criteria and context-specific therapeutic algorithms, urging further research to address gaps in managing this complex disease.…”Castleman disease (CD), a rare lymphoproliferative disorder with unicentric (UCD) and multicentric (MCD) subtypes, presents significant diagnostic and therapeutic challenges due to its clinical heterogeneity. This case series of four patients highlights rare and diverse clinical presentations of CD,...
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4592
Lung cancer brain metastases – the role of neurosurgery
Julkaistu 2016-06-01“…These factors increase the risk of metastatic lesions of the brain.Interest to the problem of neurosurgical treatment of patients suffering lung cancer is determined by frequency of lesion, varicosity of morphological variants of the disease, requiring various algorithms of treatment and diagnosis.The main role of neurosurgical intervention in cerebral metastases of lung cancer consist in creation of the paled of carrying out combined therapy. …”Lung cancer is mostly common occurring oncological disease in the developed countries. Currently lung cancers are subdivided into nonsmall-cell (adenocarcinoma, large-cell, squamous cell) and small-cell. The difference in the clinical and morphological picture leads to the necessity of choosing ther...
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4593
Integrating Bayesian Knowledge Tracing and Human Plausible Reasoning in an Adaptive Augmented Reality System for Spatial Skill Development
Julkaistu 2025-05-01“…The use of advanced adaptive algorithms in Augmented Reality (AR) systems works to advance spatial skills with valuable relevance in many professional spheres by providing personalized feedback in an immersive environment. …”The use of advanced adaptive algorithms in Augmented Reality (AR) systems works to advance spatial skills with valuable relevance in many professional spheres by providing personalized feedback in an immersive environment. This study combines Bayesian Knowledge Tracing (BKT) and Human Plausible Reas...
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4594
THE IMAGE SPEED DURING THE OPTICAL-ELECTRONIC SURFACING THE PLANET
Julkaistu 2018-08-01“…The formula is important for calculating and optimizing the parameters of the compensators used in practice to "smear" the image. …”In this paper, a formula is obtained for calculating the velocity of an image in the plane of image fixation during a space survey of the planet's surface with the aid of an on-oard optoelectronic device. The ideal task is considered: the Earth is modeled by an absolutely rigid homogeneous ball...
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4595
Data-Driven and Mechanistic Soil Modeling for Precision Fertilization Management in Cotton
Julkaistu 2025-04-01“…By comparing the Mean Absolute Error (MAE) between predicted and observed cotton yield values across three ML algorithms, i.e., Random Forest (RF), XGBoost, and LightGBM, the RF model achieved the lowest error (422.6 kg/ha), outperforming XGBoost (446 kg/ha) and LightGBM (449 kg/ha). …”This study introduces a novel methodology for predicting cotton yield by integrating machine learning (ML) with mechanistic soil modeling. This hybrid approach enhances yield prediction by combining data-driven ML techniques with soil process modeling. Using the developed yield model, yield curves f...
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4596
Advancing TinyML in IoT: A Holistic System-Level Perspective for Resource-Constrained AI
Julkaistu 2025-06-01“…We highlight both established and emergent techniques for optimizing resource usage while addressing security, privacy, and ethical concerns. …”Resource-constrained devices, including low-power Internet of Things (IoT) nodes, microcontrollers, and edge computing platforms, have increasingly become the focal point for deploying on-device intelligence. By integrating artificial intelligence (AI) closer to data sources, these systems aim to ac...
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4597
A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach
Julkaistu 2025-07-01“…While conventional dictionary-based algorithms rely on repeated sequences, LPPIE translates numeric data sequences into highly compact logarithmic representations. …”This study introduces Logarithmic Positional Partition Interval Encoding (LPPIE), a novel lossless compression methodology employing iterative logarithmic transformations to drastically reduce data size. While conventional dictionary-based algorithms rely on repeated sequences, LPPIE translates nume...
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4598
On Basic Requirements to Main Elements of Laser Correlation Spectrometer
Julkaistu 2020-02-01“…A limited usage of laser correlation spectroscopy is currently caused by insufficient accuracy of existing instruments and data processing algorithms. The paper described the development of laser correlation spectroscopic hardware complex designed for nanoparticles size determination in liquids. …”Introduction. Laser correlation spectroscopy is a promising method that allows one to analyze sizes of nanoparticles and to evaluate their shape and dynamics of aggregation in liquids. A limited usage of laser correlation spectroscopy is currently caused by insufficient accuracy of existing instrume...
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4599
Improved RT-DETR Framework for Railway Obstacle Detection
Julkaistu 2025-01-01“…Obstacle intrusion detection in railway systems is a critical technology for ensuring the operational safety of trains. However, existing algorithms face challenges related to insufficient multiscale object detection, high model redundancy, and poor real-time performance. …”Obstacle intrusion detection in railway systems is a critical technology for ensuring the operational safety of trains. However, existing algorithms face challenges related to insufficient multiscale object detection, high model redundancy, and poor real-time performance. Building upon the RT-DETR f...
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4600
A Survey on UAV Control with Multi-Agent Reinforcement Learning
Julkaistu 2025-07-01“…Despite significant progress, the field remains fragmented, with a wide variety of algorithms, architectures, and evaluation metrics spread across domains. …”Unmanned Aerial Vehicles (UAVs) have become increasingly prevalent in both governmental and civilian applications, offering significant reductions in operational costs by minimizing human involvement. There is a growing demand for autonomous, scalable, and intelligent coordination strategies in comp...
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